Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis
Due to the incapability of one sensory measurement to provide enough information for
condition monitoring of some complex engineered industrial mechanisms and also for …
condition monitoring of some complex engineered industrial mechanisms and also for …
Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes
Unsupervised representation learning tends to produce generic and reusable latent
representations. However, these representations can often miss high-level features or …
representations. However, these representations can often miss high-level features or …
[PDF][PDF] Correlation Networks for Speaker Normalization in Automatic Speech Recognition
A Rini Sharon, SR Kothinti, S Umesh - researchgate.net
In this paper, we propose using common representation learning (CRL) for speaker
normalization in automatic speech recognition (ASR). Conventional methods like feature …
normalization in automatic speech recognition (ASR). Conventional methods like feature …